Portable near‐infrared and Raman spectroscopic devices as complementary tools for instantaneous quality control of turmeric powder

Author:

Cruz Jordi1ORCID,Khongkaew Putthiporn23,Bertotto Judit Puig4,Cárdenas Vanessa5,Alcalà Manel4,Nuchtavorn Nantana2,Rojsanga Piyanuch2ORCID,Suwanvecho Chaweewan2,Phechkrajang Chutima2ORCID

Affiliation:

1. EUSS School of Engineering Barcelona Spain

2. Department of Pharmaceutical Chemistry, Faculty of Pharmacy Mahidol University Bangkok Thailand

3. Faculty of Pharmaceutical Science Burapha University Chonburi Thailand

4. Analytical Chemistry Unit, Department of Chemistry The Autonomous University of Barcelona Barcelona Spain

5. National Institute of Metrology Bogotá Colombia

Abstract

AbstractIntroductionProcess analytical technology (PAT) guidance is implemented in the quality assurance of phytocompounds to achieve the Industry 4.0 concept. Near‐infrared (NIR) and Raman spectroscopies are feasible for rapid, reliable quantitative analysis through transparent packaging without removing the samples from their original containers. These instruments can serve PAT guidance.ObjectiveThis study aimed to develop online portable NIR and Raman spectroscopic methods for quantifying total curcuminoids in turmeric samples through a plastic bag. The method mimicked an in‐line measurement mode in PAT compared with placing samples into a glass vessel (at‐line mode).Materials and methodsSixty‐three curcuminoid standard‐spiked samples were prepared. Then, 15 samples were randomly selected as fixed validation samples, and 40 of the 48 remaining samples were chosen as calibration set. The results obtained from the partial least square regression (PLSR) models constructed by using the spectra acquired from NIR and Raman were compared with the reference values from high‐performance liquid chromatography (HPLC).ResultsThe optimum PLSR model of at‐line Raman was achieved with three latent variables and a root mean square error of prediction (RMSEP) of 0.46. Meanwhile, the PLSR model of at‐line NIR with one latent variable offered an RMSEP of 0.43. For the in‐line mode, PLSR models created from Raman and NIR spectra had one latent variable with RMSEP of 0.49 and 0.42, respectively. The R2 values for prediction were 0.88–0.92.ConclusionThe models established from the spectra from portable NIR and Raman spectroscopic devices with the appropriate spectral pretreatments allowed the determination of total curcuminoid contents through plastic bag.

Funder

Thailand Research Fund

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Complementary and alternative medicine,Drug Discovery,Plant Science,Molecular Medicine,General Medicine,Biochemistry,Food Science,Analytical Chemistry

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